Instructions to use ewof/koishi-instruct-3b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ewof/koishi-instruct-3b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="ewof/koishi-instruct-3b")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("ewof/koishi-instruct-3b") model = AutoModelForCausalLM.from_pretrained("ewof/koishi-instruct-3b") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use ewof/koishi-instruct-3b with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "ewof/koishi-instruct-3b" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "ewof/koishi-instruct-3b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/ewof/koishi-instruct-3b
- SGLang
How to use ewof/koishi-instruct-3b with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "ewof/koishi-instruct-3b" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "ewof/koishi-instruct-3b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "ewof/koishi-instruct-3b" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "ewof/koishi-instruct-3b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use ewof/koishi-instruct-3b with Docker Model Runner:
docker model run hf.co/ewof/koishi-instruct-3b
Share your training script?
#2
by JuLuComputing - opened
Thanks again for all your hard work on this! Would you please share your training script?
hi i used this repo and the example train.sh in it. everything was the same except i used bf16, xformers, batch size of 1, and 64 gradient accumulation steps
https://github.com/PygmalionAI/training-code